{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TFT: Temporal Fusion Transformer"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Temporal Fusion Transformer (TFT) proposed by Lim et al. [1] is one of the most popular transformer-based model for time-series forecasting. In summary, TFT combines gating layers, an LSTM recurrent encoder, with multi-head attention layers for a multi-step forecasting strategy decoder. For more details on the Nixtla's TFT implementation visit [this link](https://nixtla.github.io/neuralforecast/models.tft.html).\n",
    "\n",
    "In this notebook we show how to train the TFT model on the Texas electricity market load data (ERCOT). Accurately forecasting electricity markets is of great interest, as it is useful for planning distribution and consumption.\n",
    "\n",
    "We will show you how to load the data, train the TFT performing automatic hyperparameter tuning, and produce forecasts. Then, we will show you how to perform multiple historical forecasts for cross validation."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can run these experiments using GPU with Google Colab.\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/Nixtla/neuralforecast/blob/main/nbs/examples/Forecasting_TFT.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "!pip install neuralforecast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.is_available()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Load ERCOT Data\n",
    "\n",
    "The input to NeuralForecast is always a data frame in [long format](https://www.theanalysisfactor.com/wide-and-long-data/) with three columns: `unique_id`, `ds` and `y`:\n",
    "\n",
    "* The `unique_id` (string, int or category) represents an identifier for the series. \n",
    "\n",
    "* The `ds` (datestamp or int) column should be either an integer indexing time or a datestamp ideally like YYYY-MM-DD for a date or YYYY-MM-DD HH:MM:SS for a timestamp.\n",
    "\n",
    "* The `y` (numeric) represents the measurement we wish to forecast. \n",
    "We will rename the \n",
    "\n",
    "First, read the 2022 historic total demand of the ERCOT market. We processed the original data (available [here](https://www.ercot.com/gridinfo/load/load_hist)), by adding the missing hour due to daylight saving time, parsing the date to datetime format, and filtering columns of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_id</th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2021-01-01 00:00:00</td>\n",
       "      <td>43719.849616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2021-01-01 01:00:00</td>\n",
       "      <td>43321.050347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2021-01-01 02:00:00</td>\n",
       "      <td>43063.067063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2021-01-01 03:00:00</td>\n",
       "      <td>43090.059203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ERCOT</td>\n",
       "      <td>2021-01-01 04:00:00</td>\n",
       "      <td>43486.590073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  unique_id                  ds             y\n",
       "0     ERCOT 2021-01-01 00:00:00  43719.849616\n",
       "1     ERCOT 2021-01-01 01:00:00  43321.050347\n",
       "2     ERCOT 2021-01-01 02:00:00  43063.067063\n",
       "3     ERCOT 2021-01-01 03:00:00  43090.059203\n",
       "4     ERCOT 2021-01-01 04:00:00  43486.590073"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_df = pd.read_csv('https://datasets-nixtla.s3.amazonaws.com/ERCOT-clean.csv')\n",
    "Y_df['ds'] = pd.to_datetime(Y_df['ds'])\n",
    "Y_df.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Model training and forecast\n",
    "\n",
    "First, instantiate the `AutoTFT` model. The `AutoTFT` class will automatically perform hyperparamter tunning using [Tune library](https://docs.ray.io/en/latest/tune/index.html), exploring a user-defined or default search space. Models are selected based on the error on a validation set and the best model is then stored and used during inference. \n",
    "\n",
    "To instantiate `AutoTFT` you need to define:\n",
    "\n",
    "* `h`: forecasting horizon\n",
    "* `loss`: training loss\n",
    "* `config`: hyperparameter search space. If `None`, the `AutoTFT` class will use a pre-defined suggested hyperparameter space.\n",
    "* `num_samples`: number of configurations explored."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ray import tune\n",
    "\n",
    "from neuralforecast.auto import AutoTFT\n",
    "from neuralforecast.core import NeuralForecast\n",
    "from neuralforecast.losses.pytorch import MAE\n",
    "\n",
    "import logging\n",
    "logging.getLogger(\"pytorch_lightning\").setLevel(logging.WARNING)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ":::{.callout-tip}\n",
    "Increase the `num_samples` parameter to explore a wider set of configurations for the selected models. As a rule of thumb choose it to be bigger than `15`.  \n",
    "\n",
    "With `num_samples=3` this example should run in around 20 minutes.\n",
    ":::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "horizon = 24\n",
    "models = [AutoTFT(h=horizon,\n",
    "                  loss=MAE(),\n",
    "                  config=None,\n",
    "                  num_samples=3)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ":::{.callout-tip}\n",
    "All our models can be used for both point and probabilistic forecasting. For producing probabilistic outputs, simply modify the loss to one of our `DistributionLoss`. The complete list of losses is available in [this link](https://nixtla.github.io/neuralforecast/losses.pytorch.html) \n",
    ":::"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "::: {.callout-important collapse=\"true\"}\n",
    "\n",
    "TFT is a very large model and can require a lot of memory! If you are running out of GPU memory, try declaring your config search space and decrease the `hidden_size`, `n_heads`, and `windows_batch_size` parameters.\n",
    "\n",
    "This are all the parameters of the config: \n",
    "\n",
    "```python\n",
    "config = {\n",
    "      \"input_size\": tune.choice([horizon]),\n",
    "      \"hidden_size\": tune.choice([32]),\n",
    "      \"n_head\": tune.choice([2]),\n",
    "      \"learning_rate\": tune.loguniform(1e-4, 1e-1),\n",
    "      \"scaler_type\": tune.choice(['robust', 'standard']),\n",
    "      \"max_steps\": tune.choice([500, 1000]),\n",
    "      \"windows_batch_size\": tune.choice([32]),\n",
    "      \"check_val_every_n_epoch\": tune.choice([100]),\n",
    "      \"random_seed\": tune.randint(1, 20),\n",
    "}\n",
    "```\n",
    ":::"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `NeuralForecast` class has built-in methods to simplify the forecasting pipelines, such as `fit`, `predit`, and `cross_validation`. Instantiate a `NeuralForecast` object with the following required parameters:\n",
    "\n",
    "* `models`: a list of models.\n",
    "\n",
    "* `freq`: a string indicating the frequency of the data. (See [panda's available frequencies](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases).)\n",
    "\n",
    "Then, use the `fit` method to train the `AutoTFT` model on the ERCOT data. The total training time will depend on the hardware and the explored configurations, it should take between 10 and 30 minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "nf = NeuralForecast(\n",
    "    models=models,\n",
    "    freq='H')\n",
    "\n",
    "nf.fit(df=Y_df)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, use the `predict` method to forecast the next 24 hours after the training data and plot the forecasts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c66cefd0ed464aa29def5ebad510a242",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>AutoTFT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ERCOT</th>\n",
       "      <td>2022-10-01 00:00:00</td>\n",
       "      <td>38644.019531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERCOT</th>\n",
       "      <td>2022-10-01 01:00:00</td>\n",
       "      <td>36833.121094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERCOT</th>\n",
       "      <td>2022-10-01 02:00:00</td>\n",
       "      <td>35698.265625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERCOT</th>\n",
       "      <td>2022-10-01 03:00:00</td>\n",
       "      <td>35065.148438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ERCOT</th>\n",
       "      <td>2022-10-01 04:00:00</td>\n",
       "      <td>34788.566406</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           ds       AutoTFT\n",
       "unique_id                                  \n",
       "ERCOT     2022-10-01 00:00:00  38644.019531\n",
       "ERCOT     2022-10-01 01:00:00  36833.121094\n",
       "ERCOT     2022-10-01 02:00:00  35698.265625\n",
       "ERCOT     2022-10-01 03:00:00  35065.148438\n",
       "ERCOT     2022-10-01 04:00:00  34788.566406"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_hat_df = nf.predict()\n",
    "Y_hat_df.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the results with matplot lib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize = (10, 3))\n",
    "plot_df = pd.concat([Y_df.tail(24*5).reset_index(drop=True), Y_hat_df]).set_index('ds') # Concatenate the train and forecast dataframes\n",
    "plot_df[['y', 'AutoTFT']].plot(ax=ax, linewidth=2)\n",
    "\n",
    "ax.set_title('Load [MW]', fontsize=12)\n",
    "ax.set_ylabel('Monthly Passengers', fontsize=12)\n",
    "ax.set_xlabel('Date', fontsize=12)\n",
    "ax.legend(prop={'size': 10})\n",
    "ax.grid()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Cross validation for multiple historic forecasts"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `cross_validation` method allows you to simulate multiple historic forecasts, greatly simplifying pipelines by replacing for loops with `fit` and `predict` methods. See [this tutorial](https://nixtla.github.io/statsforecast/examples/getting_started_complete.html) for an animation of how the windows are defined. \n",
    "\n",
    "With time series data, cross validation is done by defining a sliding window across the historical data and predicting the period following it. This form of cross validation allows us to arrive at a better estimation of our model’s predictive abilities across a wider range of temporal instances while also keeping the data in the training set contiguous as is required by our models. The `cross_validation` method will use the validation set for hyperparameter selection, and will then produce the forecasts for the test set.\n",
    "\n",
    "Use the `cross_validation` method to produce all the daily forecasts for September. Set the validation and test sizes. To produce daily forecasts set the forecasting set the step size between windows as 24, to only produce one forecast per day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "val_size  = 90*24 # 90 days x 24 hours\n",
    "test_size = 30*24 # 30 days x 24 hours\n",
    "fcst_df = nf.cross_validation(df=Y_df, val_size=val_size, test_size=test_size,\n",
    "                                n_windows=None, step_size=horizon)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we merge the forecasts with the `Y_df` dataset and plot the forecasts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_hat_df = fcst_df.reset_index(drop=True)\n",
    "Y_hat_df = Y_hat_df.drop(columns=['y','cutoff'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_df = Y_df.merge(Y_hat_df, on=['unique_id','ds'], how='outer').tail(test_size+24*7)\n",
    "\n",
    "plt.figure(figsize=(20,5))\n",
    "plt.plot(plot_df['ds'], plot_df['y'], c='black', label='True')\n",
    "plt.plot(plot_df['ds'], plot_df['AutoTFT'], c='blue', label='Forecast')\n",
    "plt.axvline(pd.to_datetime('2022-09-01'), color='red', linestyle='-.')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Next Steps\n",
    "\n",
    "In Challu et al [2] we demonstrate that the N-HiTS model outperforms the latest transformers by more than 20% with 50 times less computation.\n",
    "\n",
    "Learn how to use the N-HiTS and the NeuralForecast library in [this tutorial](https://nixtla.github.io/neuralforecast/examples/electricitypeakforecasting.html)."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "[1] [Lim, B., Arık, S. Ö., Loeff, N., & Pfister, T. (2021). Temporal fusion transformers for interpretable multi-horizon time series forecasting. International Journal of Forecasting, 37(4), 1748-1764.](https://www.sciencedirect.com/science/article/pii/S0169207021000637).\n",
    "\n",
    "[2] [Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler-Canseco, Artur Dubrawski (2021). N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. Accepted at AAAI 2023.](https://arxiv.org/abs/2201.12886)"
   ]
  }
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